Overview

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3677
Missing cells	6710
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.0 MiB
Average record size in memory	578.4 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 4 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `carpet_area` and 2 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 6 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1987 (54.0%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73095613)	Skewed
`built_up_area` is highly skewed (γ1 = 40.77881958)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2025-06-30 08:20:18.336119
Analysis finished	2025-06-30 08:20:42.914307
Duration	24.58 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	219.9 KiB

flat	2818
house	859

Length

Max length	5
Median length	4
Mean length	4.2336144
Min length	4

Characters and Unicode

Total characters	15567
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15567	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15567	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15567	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	265.2 KiB

Length

Max length	49
Median length	39
Mean length	16.869695
Min length	1

Characters and Unicode

Total characters	62013
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	ss residency
2nd row	ansal housing highland park
3rd row	sapphire eighty three
4th row	unitech the residences
5th row	m3m capital

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.6%
heights	134	1.4%
Other values (783)	7497	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55465	89.4%
Space Separator	6003	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6710	12.1%
a	5861	10.6%
r	4171	7.5%
n	4163	7.5%
i	3830	6.9%
t	3719	6.7%
s	3472	6.3%
l	2943	5.3%
o	2755	5.0%
d	2488	4.5%
Other values (16)	15353	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6003	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55465	89.4%
Common	6548	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6710	12.1%
a	5861	10.6%
r	4171	7.5%
n	4163	7.5%
i	3830	6.9%
t	3719	6.7%
s	3472	6.3%
l	2943	5.3%
o	2755	5.0%
d	2488	4.5%
Other values (16)	15353	27.7%

Common

Value	Count	Frequency (%)
	6003	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6710	10.8%
	6003	9.7%
a	5861	9.5%
r	4171	6.7%
n	4163	6.7%
i	3830	6.2%
t	3719	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18386	29.6%

sector
Text

Distinct	115
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	238.1 KiB

Length

Max length	26
Median length	9
Mean length	9.3179222
Min length	3

Characters and Unicode

Total characters	34262
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 6
2nd row	sector 103
3rd row	sector 83
4th row	sector 33
5th row	sector 113

Value	Count	Frequency (%)
sector	3448	46.7%
road	178	2.4%
sohna	166	2.2%
102	107	1.4%
85	106	1.4%
92	100	1.4%
69	93	1.3%
90	88	1.2%
81	87	1.2%
65	87	1.2%
Other values (107)	2923	39.6%

Most occurring characters

Value	Count	Frequency (%)
o	3803	11.1%
	3706	10.8%
s	3693	10.8%
r	3693	10.8%
e	3547	10.4%
c	3499	10.2%
t	3459	10.1%
1	1075	3.1%
0	801	2.3%
8	778	2.3%
Other values (21)	6208	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23300	68.0%
Decimal Number	7256	21.2%
Space Separator	3706	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3803	16.3%
s	3693	15.8%
r	3693	15.8%
e	3547	15.2%
c	3499	15.0%
t	3459	14.8%
a	697	3.0%
d	249	1.1%
n	230	1.0%
h	203	0.9%
Other values (10)	227	1.0%

Decimal Number

Value	Count	Frequency (%)
1	1075	14.8%
0	801	11.0%
8	778	10.7%
9	762	10.5%
6	739	10.2%
7	681	9.4%
2	680	9.4%
3	666	9.2%
5	591	8.1%
4	483	6.7%

Space Separator

Value	Count	Frequency (%)
	3706	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23300	68.0%
Common	10962	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3803	16.3%
s	3693	15.8%
r	3693	15.8%
e	3547	15.2%
c	3499	15.0%
t	3459	14.8%
a	697	3.0%
d	249	1.1%
n	230	1.0%
h	203	0.9%
Other values (10)	227	1.0%

Common

Value	Count	Frequency (%)
	3706	33.8%
1	1075	9.8%
0	801	7.3%
8	778	7.1%
9	762	7.0%
6	739	6.7%
7	681	6.2%
2	680	6.2%
3	666	6.1%
5	591	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34262	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3803	11.1%
	3706	10.8%
s	3693	10.8%
r	3693	10.8%
e	3547	10.4%
c	3499	10.2%
t	3459	10.1%
1	1075	3.1%
0	801	2.3%
8	778	2.3%
Other values (21)	6208	18.1%

price
Real number (ℝ)

High correlation

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336639

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9806235
Coefficient of variation (CV)	1.1764084
Kurtosis	14.933373
Mean	2.5336639
Median Absolute Deviation (MAD)	0.72
Skewness	3.2791705
Sum	9273.21
Variance	8.8841164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.6%
0.95	52	1.4%
2	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.2%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
22222	13	0.4%
6666	13	0.4%
11111	13	0.4%
8333	12	0.3%
7500	12	0.3%
33333	11	0.3%
Other values (2641)	3509	95.4%
(Missing)	17	0.5%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.3311

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	518.85
Q1	1232.25
median	1733
Q3	2300
95-th percentile	4246.2
Maximum	875000
Range	874950
Interquartile range (IQR)	1067.75

Descriptive statistics

Standard deviation	23167.506
Coefficient of variation (CV)	8.0210699
Kurtosis	942.02903
Mean	2888.3311
Median Absolute Deviation (MAD)	533
Skewness	29.730956
Sum	10571292
Variance	5.3673333 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
1950	43	1.2%
3240	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3267	88.8%

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	399.4 KiB

Length

Max length	124
Median length	119
Mean length	54.236062
Min length	12

Characters and Unicode

Total characters	199426
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Carpet area: 100 (83.61 sq.m.)
2nd row	Super Built up area 1762(163.7 sq.m.)Built Up area: 1500 sq.ft. (139.35 sq.m.)Carpet area: 1300 sq.ft. (120.77 sq.m.)
3rd row	Built Up area: 700 (65.03 sq.m.)
4th row	Super Built up area 1545(143.54 sq.m.)
5th row	Carpet area: 2298 (213.49 sq.m.)

Value	Count	Frequency (%)
area	5573	18.5%
sq.m	3655	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8700	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82758	41.5%
Decimal Number	47135	23.6%
Space Separator	26464	13.3%
Other Punctuation	23406	11.7%
Uppercase Letter	8593	4.3%
Close Punctuation	5535	2.8%
Open Punctuation	5535	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13154	15.9%
r	9456	11.4%
e	9320	11.3%
s	7567	9.1%
q	7431	9.0%
t	7324	8.8%
u	6770	8.2%
p	6767	8.2%
m	5544	6.7%
l	3701	4.5%
Other values (5)	5724	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9205	19.5%
0	6628	14.1%
2	5688	12.1%
5	4714	10.0%
3	3960	8.4%
4	3711	7.9%
6	3674	7.8%
7	3254	6.9%
8	3157	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1872	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20389	87.1%
:	3017	12.9%

Space Separator

Value	Count	Frequency (%)
	26464	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5535	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108075	54.2%
Latin	91351	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13154	14.4%
r	9456	10.4%
e	9320	10.2%
s	7567	8.3%
q	7431	8.1%
t	7324	8.0%
u	6770	7.4%
p	6767	7.4%
m	5544	6.1%
l	3701	4.1%
Other values (10)	14317	15.7%

Common

Value	Count	Frequency (%)
	26464	24.5%
.	20389	18.9%
1	9205	8.5%
0	6628	6.1%
2	5688	5.3%
)	5535	5.1%
(	5535	5.1%
5	4714	4.4%
3	3960	3.7%
4	3711	3.4%
Other values (5)	16246	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199426	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3600761

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8976289
Coefficient of variation (CV)	0.56475771
Kurtosis	18.212873
Mean	3.3600761
Median Absolute Deviation (MAD)	1
Skewness	3.4851418
Sum	12355
Variance	3.6009954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1496	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4245309

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9480681
Coefficient of variation (CV)	0.56885693
Kurtosis	17.542297
Mean	3.4245309
Median Absolute Deviation (MAD)	1
Skewness	3.2488298
Sum	12592
Variance	3.7949693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	209.4 KiB

3+	1172
3	1074
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3187381
Min length	1

Characters and Unicode

Total characters	4849
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3+
3rd row	0
4th row	2
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	75.8%
Math Symbol	1172	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4849	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4849	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

Zeros

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7982504

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0124542
Coefficient of variation (CV)	0.884412
Kurtosis	4.5153928
Mean	6.7982504
Median Absolute Deviation (MAD)	3
Skewness	1.6936988
Sum	24868
Variance	36.149606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.5%

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

High correlation Missing

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	229.4 KiB

North-East	623
East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8381459
Min length	4

Characters and Unicode

Total characters	17998
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-East
2nd row	North-East
3rd row	West
4th row	East
5th row	East

Common Values

Value	Count	Frequency (%)
North-East	623	16.9%
East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	623	23.7%
east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13082	72.7%
Uppercase Letter	3774	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3774	28.8%
s	2014	15.4%
o	1760	13.5%
h	1760	13.5%
a	1419	10.8%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1419	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16856	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3774	22.4%
s	2014	11.9%
o	1760	10.4%
h	1760	10.4%
E	1419	8.4%
a	1419	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	252.7 KiB

Relatively New	1646
New Property	593
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.385912
Min length	9

Characters and Unicode

Total characters	49220
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Moderately Old
2nd row	New Property
3rd row	Undefined
4th row	Moderately Old
5th row	Under Construction

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	593	16.1%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2239	31.8%
relatively	1646	23.4%
property	896	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8431	17.1%
l	4721	9.6%
t	3637	7.4%
	3371	6.8%
y	3105	6.3%
r	2887	5.9%
d	2307	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14065	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38801	78.8%
Uppercase Letter	7048	14.3%
Space Separator	3371	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8431	21.7%
l	4721	12.2%
t	3637	9.4%
y	3105	8.0%
r	2887	7.4%
d	2307	5.9%
w	2239	5.8%
i	2218	5.7%
a	2209	5.7%
o	1991	5.1%
Other values (7)	5056	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2239	31.8%
R	1646	23.4%
P	896	12.7%
O	866	12.3%
U	572	8.1%
M	563	8.0%
C	266	3.8%

Space Separator

Value	Count	Frequency (%)
	3371	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45849	93.2%
Common	3371	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8431	18.4%
l	4721	10.3%
t	3637	7.9%
y	3105	6.8%
r	2887	6.3%
d	2307	5.0%
N	2239	4.9%
w	2239	4.9%
i	2218	4.8%
a	2209	4.8%
Other values (14)	11856	25.9%

Common

Value	Count	Frequency (%)
	3371	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49220	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8431	17.1%
l	4721	9.6%
t	3637	7.4%
	3371	6.8%
y	3105	6.3%
r	2887	5.9%
d	2307	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14065	28.6%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
1578	25	0.7%
2000	25	0.7%
2150	22	0.6%
1640	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1802	49.0%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	624
Distinct (%)	36.9%
Missing	1987
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	1841.9314

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	129.681
Q1	360
median	1256.5
Q3	1900
95-th percentile	3936.5
Maximum	737147
Range	737145
Interquartile range (IQR)	1540

Descriptive statistics

Standard deviation	17945.374
Coefficient of variation (CV)	9.7426943
Kurtosis	1671.8347
Mean	1841.9314
Median Absolute Deviation (MAD)	754.5
Skewness	40.77882
Sum	3112864
Variance	3.2203646 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360	45	1.2%
1900	34	0.9%
300	34	0.9%
1600	26	0.7%
2000	24	0.7%
1300	24	0.7%
1700	23	0.6%
200	22	0.6%
1800	22	0.6%
900	21	0.6%
Other values (614)	1415	38.5%
(Missing)	1987	54.0%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
40	4	0.1%
50	6	0.2%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
9500	1	< 0.1%
9000	4	0.1%
8286	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%
7450	1	< 0.1%
7331	2	0.1%
7000	9	0.2%
6500	1	< 0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	733
Distinct (%)	39.2%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	1.0%
1800	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1000	22	0.6%
1450	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1805	49.1%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	2972
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	2349
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3339
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3021
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	3272
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	208.3 KiB

0	2416
1	1052
2	209

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2416	65.7%
1	1052	28.6%
2	209	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2416	65.7%
1	1052	28.6%
2	209	5.7%

Most occurring characters

Value	Count	Frequency (%)
0	2416	65.7%
1	1052	28.6%
2	209	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2416	65.7%
1	1052	28.6%
2	209	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2416	65.7%
1	1052	28.6%
2	209	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2416	65.7%
1	1052	28.6%
2	209	5.7%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.512918

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.059082
Coefficient of variation (CV)	0.74195102
Kurtosis	-0.88020421
Mean	71.512918
Median Absolute Deviation (MAD)	38
Skewness	0.4590463
Sum	262953
Variance	2815.2662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
165	55	1.5%
38	55	1.5%
72	52	1.4%
60	47	1.3%
42	45	1.2%
37	45	1.2%
Other values (151)	2313	62.9%

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Interactions

Correlations

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.274	0.111	0.130	0.000	0.000	0.092	0.125	0.214	0.255	0.108	0.187	0.102	0.056	0.379	0.287	0.143	0.140	0.086
area	0.000	1.000	0.011	0.687	0.624	0.392	0.801	0.022	0.116	0.043	0.259	0.042	0.037	0.744	0.207	0.028	0.015	0.039	0.018	0.948
balcony	0.274	0.011	1.000	0.225	0.176	0.000	0.026	0.016	0.079	0.177	0.223	0.082	0.197	0.136	0.033	0.214	0.441	0.146	0.183	0.306
bathroom	0.111	0.687	0.225	1.000	0.862	-0.019	0.599	0.044	-0.005	0.197	0.179	0.070	0.286	0.720	0.411	0.472	0.520	0.244	0.176	0.819
bedRoom	0.130	0.624	0.176	0.862	1.000	-0.135	0.569	0.032	-0.104	0.167	0.057	0.079	0.291	0.681	0.417	0.595	0.317	0.223	0.154	0.800
built_up_area	0.000	0.392	0.000	-0.019	-0.135	1.000	0.969	1.000	0.349	0.087	0.263	0.000	0.000	-0.001	-0.401	0.000	0.000	0.000	0.000	0.926
carpet_area	0.000	0.801	0.026	0.599	0.569	0.969	1.000	0.000	0.159	0.000	0.239	0.016	0.000	0.613	0.136	0.000	0.000	0.000	0.003	0.894
facing	0.092	0.022	0.016	0.044	0.032	1.000	0.000	1.000	0.000	0.047	0.065	0.000	0.029	0.021	0.000	0.094	0.036	0.036	0.000	0.000
floorNum	0.125	0.116	0.079	-0.005	-0.104	0.349	0.159	0.000	1.000	0.018	0.232	0.033	0.102	0.001	-0.126	0.485	0.084	0.112	0.078	0.152
furnishing_type	0.214	0.043	0.177	0.197	0.167	0.087	0.000	0.047	0.018	1.000	0.244	0.063	0.216	0.175	0.022	0.080	0.270	0.157	0.140	0.134
luxury_score	0.255	0.259	0.223	0.179	0.057	0.263	0.239	0.065	0.232	0.244	1.000	0.176	0.189	0.215	0.054	0.329	0.347	0.228	0.183	0.222
others	0.108	0.042	0.082	0.070	0.079	0.000	0.016	0.000	0.033	0.063	0.176	1.000	0.033	0.034	0.036	0.026	0.000	0.106	0.031	0.084
pooja room	0.187	0.037	0.197	0.286	0.291	0.000	0.000	0.029	0.102	0.216	0.189	0.033	1.000	0.334	0.043	0.252	0.252	0.305	0.313	0.157
price	0.102	0.744	0.136	0.720	0.681	-0.001	0.613	0.021	0.001	0.175	0.215	0.034	0.334	1.000	0.744	0.543	0.369	0.303	0.244	0.772
price_per_sqft	0.056	0.207	0.033	0.411	0.417	-0.401	0.136	0.000	-0.126	0.022	0.054	0.036	0.043	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.379	0.028	0.214	0.472	0.595	0.000	0.000	0.094	0.485	0.080	0.329	0.026	0.252	0.543	0.201	1.000	0.065	0.241	0.128	1.000
servant room	0.287	0.015	0.441	0.520	0.317	0.000	0.000	0.036	0.084	0.270	0.347	0.000	0.252	0.369	0.044	0.065	1.000	0.161	0.185	0.584
store room	0.143	0.039	0.146	0.244	0.223	0.000	0.000	0.036	0.112	0.157	0.228	0.106	0.305	0.303	0.000	0.241	0.161	1.000	0.226	0.046
study room	0.140	0.018	0.183	0.176	0.154	0.000	0.003	0.000	0.078	0.140	0.183	0.031	0.313	0.244	0.030	0.128	0.185	0.226	1.000	0.121
super_built_up_area	0.086	0.948	0.306	0.819	0.800	0.926	0.894	0.000	0.152	0.134	0.222	0.084	0.157	0.772	0.287	1.000	0.584	0.046	0.121	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	pooja room	others	furnishing_type	luxury_score
0	flat	ss residency	sector 6	0.48	5333.0	900.0	Carpet area: 100 (83.61 sq.m.)	3	2	2	2.0	NaN	Moderately Old	NaN	NaN	100.0	0	0	0	0	0	54
1	flat	ansal housing highland park	sector 103	1.10	6242.0	1762.0	Super Built up area 1762(163.7 sq.m.)Built Up area: 1500 sq.ft. (139.35 sq.m.)Carpet area: 1300 sq.ft. (120.77 sq.m.)	3	3	3+	7.0	North-East	New Property	1762.0	1500.0	1300.0	0	0	0	0	0	87
2	flat	sapphire eighty three	sector 83	0.65	9286.0	700.0	Built Up area: 700 (65.03 sq.m.)	1	1	0	6.0	NaN	Undefined	NaN	700.0	NaN	0	0	0	0	0	0
3	flat	unitech the residences	sector 33	1.35	8737.0	1545.0	Super Built up area 1545(143.54 sq.m.)	3	4	2	8.0	North-East	Moderately Old	1545.0	NaN	NaN	0	1	0	0	0	49
4	flat	m3m capital	sector 113	3.25	14142.0	2298.0	Carpet area: 2298 (213.49 sq.m.)	4	4	3+	34.0	NaN	Under Construction	NaN	NaN	2298.0	1	1	1	0	0	115
5	flat	experion windchants	sector 112	4.75	12622.0	3763.0	Super Built up area 3763(349.59 sq.m.)	3	5	3+	4.0	West	Relatively New	3763.0	NaN	NaN	0	1	0	0	1	42
6	flat	ss the coralwood	sector 84	1.10	5820.0	1890.0	Super Built up area 1890(175.59 sq.m.)	3	3	3+	12.0	East	Moderately Old	1890.0	NaN	NaN	0	0	0	0	1	104
7	house	raj villas	sector 52	8.00	25543.0	3132.0	Carpet area: 348 (290.97 sq.m.)	6	5	3+	4.0	East	Undefined	NaN	NaN	348.0	0	0	0	0	0	0
8	flat	godrej oasis	sector 88a	1.29	7800.0	1654.0	Super Built up area 1629(151.34 sq.m.)Carpet area: 1628 sq.ft. (151.25 sq.m.)	3	3	3	5.0	NaN	New Property	1629.0	NaN	1628.0	1	0	0	1	0	65
9	flat	chd avenue	sector 71	1.16	6655.0	1743.0	Super Built up area 1743(161.93 sq.m.)	3	3	3	5.0	South-West	Moderately Old	1743.0	NaN	NaN	0	1	0	0	1	73

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	luxury_score
3791	flat	smart world orchard	sector 61	2.50	16139.0	1549.0	Built Up area: 1549 (143.91 sq.m.)	3	3	1	1.0	East	Undefined	NaN	1549.0	NaN	0	0	0	0	61
3792	flat	m3m heights	sector 65	3.00	18000.0	1667.0	Super Built up area 1828(169.83 sq.m.)	3	3	3	20.0	South-East	Under Construction	1828.0	NaN	NaN	0	0	0	0	60
3795	house	project housing board colony	sector 28	2.58	17695.0	1458.0	Carpet area: 1300 (120.77 sq.m.)	4	2	2	2.0	NaN	Undefined	NaN	NaN	1300.0	0	0	0	0	0
3796	house	ansal sushant lok	sector 43	10.50	27911.0	3762.0	Plot area 418(349.5 sq.m.)	4	4	2	NaN	North-East	Old Property	NaN	418.0	NaN	0	1	0	0	59
3797	flat	chintamani	sector 103	1.57	8509.0	1845.0	Built Up area: 1845 (171.41 sq.m.)Carpet area: 1350 sq.ft. (125.42 sq.m.)	3	3	3	1.0	North-East	Undefined	NaN	1845.0	1350.0	0	0	0	0	0
3798	flat	adani aangan arcade	sector 88a	0.45	7200.0	625.0	Carpet area: 625 (58.06 sq.m.)	2	2	1	3.0	NaN	New Property	NaN	NaN	625.0	0	0	0	0	14
3799	flat	ambience creacions	sector 22	1.99	14420.0	1380.0	Super Built up area 1380(128.21 sq.m.)Built Up area: 1285 sq.ft. (119.38 sq.m.)Carpet area: 1280 sq.ft. (118.92 sq.m.)	2	2	2	9.0	North-East	New Property	1380.0	1285.0	1280.0	1	1	0	1	20
3800	house	international city by sobha phase 1	sector 109	6.00	24691.0	2430.0	Plot area 270(225.75 sq.m.)	4	4	3+	2.0	North-East	Relatively New	NaN	270.0	NaN	1	1	1	1	160
3801	flat	elan mercado	sector 80	0.85	12408.0	685.0	Carpet area: 685 (63.64 sq.m.)	1	1	1	15.0	NaN	Relatively New	NaN	NaN	685.0	0	0	0	0	60
3802	flat	gls avenue 51	sector 92	0.42	6562.0	640.0	Carpet area: 640 (59.46 sq.m.)	3	3	1	2.0	NaN	Relatively New	NaN	NaN	640.0	0	0	0	0	20

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category